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. Author manuscript; available in PMC: 2016 Mar 1.
Published in final edited form as: Curr Psychiatry Rep. 2004 Aug;6(4):289–295. doi: 10.1007/s11920-004-0079-8

Table 3.

Risk assessment

Actual results
Test prediction Develops psychosis Does not develop psychosis Total
At risk for psychosis 120 240 360
Not at risk for psychosis 80 560 640
Total 200 800 1000

Applying the same criteria to a help-seeking clinical population at a higher risk of a psychotic disorder will reduce the proportion of false-positive results. Assuming that in a clinical help-seeking population that the risk of psychosis is much higher than the general population risk, for example, 20 of every 100 individuals will ultimately develop schizophrenia or a psychotic mood disorder. This means that of 1000 individuals, 200 will develop a psychotic disorder and 800 will not. Assuming that the sensitivity of the at-risk criteria is 60%, this means that the criteria will correctly identify 120 but miss 80 individuals truly at risk. Assuming that the specificity is 60%, the test will correctly identify 560 individuals as not at risk, but will misclassify 240 individuals as at risk, even though they are truly not at risk.